Evidence map›Paper›PMID 39449347›Full record

ArticleCentral nervous system agents in medicinal chemistry2025

Identification of Phytoconstituents from Natural Product Database as SIRT2 Inhibitors for Potential Role in Alzheimer's Disease: An In-Silico Screening.

Hitesh Kumar, Ashok Kumar Datusalia, Anoop Kumar, Gopal L Khatik

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Article in Central nervous system agents in medicinal chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 authors.

Hitesh KumarDepartment of Medicinal Chemistry, National Institute of Pharmaceutical Education and Research-Raebareli, Uttar Pradesh, 226002, India.
Ashok Kumar DatusaliaDepartment of Pharmacology & Toxicology, National Institute of Pharmaceutical Education and Research-Raebareli, Uttar Pradesh, 226002, India.
Anoop KumarDepartment of Pharmacology, Delhi Pharmaceutical Sciences and Research University (DPSRU), New Delhi, 110017, India.
Gopal L KhatikDepartment of Medicinal Chemistry, National Institute of Pharmaceutical Education and Research-Raebareli, Uttar Pradesh, 226002, India.ORCID 0000-0002-3993-8114

Funding

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6 · The paper itself

Abstract

aimWe aimed to conduct in silico screening of the potential phytoconstituent from a natural product database to find SIRT2 inhibitors.

backgroundAlzheimer's disease (AD) is the most prevalent type of dementia, characterized by behavioral and mental symptoms as well as a progressive loss of cognitive ability. Since SIRT2 may be detrimental to neurological illnesses, it is a prime target for research into SIRT2 inhibitors.

objectiveTo identify the SIRT2 inhibitors and their role in AD.

methodsWe have utilized NPAtlas database and screened using pharmacophore-based virtual screening, molecular docking, and simulation. The Natural Products Atlas provides unrestricted access to various natural products derived from bacteria and fungi, allowing researchers to investigate and visualize the extensive chemical diversity in the natural world.

resultsFrom in silico screening data, we have found phytoconstituents that could function as SIRT2 inhibitors. Six phytoconstituents were identified using pharmacophore-based virtual screening. According to molecular docking, Kurasoin B outperformed the reference molecule regarding binding energy. Kurasoin B exhibited a binding affinity of -12.543 kcal/mol, whereas the binding affinity of the reference molecule was -12.089 kcal/mol. The Kurasoin B complex with SIRT2 was determined to be stable throughout the simulation by performing MD simulation, with an RMSD of 2.88 (Å), whereas the reference and free protein displayed RMSDs of 3.74 and 4.70 (Å), respectively.

conclusionIn silico studies and data analysis, suggest that Kurasoin B may be able to suppress the SIRT2 protein for managing AD.

Indexed as

Alzheimer DiseaseBiological ProductsPhytochemicalsSirtuin 2Computer SimulationDatabases, FactualDrug Evaluation, PreclinicalHumansMolecular Docking SimulationBiological ProductsPhytochemicalsSIRT2 protein, humanSirtuin 2Alzheimer's diseasebraindrug-design.phytoconstituentSIRT2virtual screening

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PMID39449347

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